IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v56y2021i5p1738-1770_8.html
   My bibliography  Save this article

Overconfident Institutions and Their Self-Attribution Bias: Evidence from Earnings Announcements

Author

Listed:
  • Chou, Hsin-I
  • Li, Mingyi
  • Yin, Xiangkang
  • Zhao, Jing

Abstract

Institutional demand for a stock before its earnings announcement is negatively related to subsequent returns. The relation is not attributable to the price pressure of institutional demand and is stronger for stocks with higher information asymmetry and/or greater valuation difficulty. These findings support the notion that overconfident institutions misprice stocks. Following announcements, institutions’ behavior exhibits the outcome-dependent feature of self-attribution bias. Whether they become more overconfident and delay their mispricing correction depends on whether earnings news confirms their preannouncement trades. This behavioral bias also offers a new explanation for the well-known post-earnings-announcement drift.

Suggested Citation

  • Chou, Hsin-I & Li, Mingyi & Yin, Xiangkang & Zhao, Jing, 2021. "Overconfident Institutions and Their Self-Attribution Bias: Evidence from Earnings Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(5), pages 1738-1770, August.
  • Handle: RePEc:cup:jfinqa:v:56:y:2021:i:5:p:1738-1770_8
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S002210902000037X/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaheera Thasleema Abdul Lathief & Sunitha Chelliah Kumaravel & Regina Velnadar & Ravi Varma Vijayan & Satyanarayana Parayitam, 2024. "Quantifying Risk in Investment Decision-Making," JRFM, MDPI, vol. 17(2), pages 1-20, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:jfinqa:v:56:y:2021:i:5:p:1738-1770_8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jfq .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.